Supporting text mining for e-Science: the challenges for Grid-enabled natural language processing

J. Carroll; Roger Evans; E. Klein

Supporting text mining for e-Science: the challenges for Grid-enabled natural language processing

J. Carroll, Roger Evans, E. Klein

University of Brighton

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Chapter › peer-review

Abstract

Over the last few years, language technology has moved rapidly from ‘applied research’ to ‘engineering’, and from small-scale to large-scale engineering. Applications such as advanced text mining systems are feasible, but very resource-intensive, while research seeking to address the underlying language processing questions faces very real practical and methodological limitations. The e-Science vision, and the creation of the e-Science Grid, promises the level of integrated large- scale technological support required to sustain this important and successful new technology area. In this paper, we discuss the foundations for the deployment of text mining and other language technology on the Grid — the protocols and tools required to build distributed large-scale language technology systems, meeting the needs of users, application builders and researchers.

Original language	English
Title of host publication	Proceedings of the UK e-Science All-Hands meeting 2005
Editors	S. Cox, D.W. Walker
Place of Publication	Nottingham, UK
Publisher	EPSRC
Pages	233-238
Number of pages	6
ISBN (Print)	1904425534
Publication status	Published - 2005

Bibliographical note

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Keywords

Natural language generation, Research methodologies

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http://www.allhands.org.uk/2005/proceedings/Licence: Unspecified

Cite this

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abstract = "Over the last few years, language technology has moved rapidly from {\textquoteleft}applied research{\textquoteright} to {\textquoteleft}engineering{\textquoteright}, and from small-scale to large-scale engineering. Applications such as advanced text mining systems are feasible, but very resource-intensive, while research seeking to address the underlying language processing questions faces very real practical and methodological limitations. The e-Science vision, and the creation of the e-Science Grid, promises the level of integrated large- scale technological support required to sustain this important and successful new technology area. In this paper, we discuss the foundations for the deployment of text mining and other language technology on the Grid — the protocols and tools required to build distributed large-scale language technology systems, meeting the needs of users, application builders and researchers.",

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AU - Evans, Roger

AU - Klein, E.

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N2 - Over the last few years, language technology has moved rapidly from ‘applied research’ to ‘engineering’, and from small-scale to large-scale engineering. Applications such as advanced text mining systems are feasible, but very resource-intensive, while research seeking to address the underlying language processing questions faces very real practical and methodological limitations. The e-Science vision, and the creation of the e-Science Grid, promises the level of integrated large- scale technological support required to sustain this important and successful new technology area. In this paper, we discuss the foundations for the deployment of text mining and other language technology on the Grid — the protocols and tools required to build distributed large-scale language technology systems, meeting the needs of users, application builders and researchers.

AB - Over the last few years, language technology has moved rapidly from ‘applied research’ to ‘engineering’, and from small-scale to large-scale engineering. Applications such as advanced text mining systems are feasible, but very resource-intensive, while research seeking to address the underlying language processing questions faces very real practical and methodological limitations. The e-Science vision, and the creation of the e-Science Grid, promises the level of integrated large- scale technological support required to sustain this important and successful new technology area. In this paper, we discuss the foundations for the deployment of text mining and other language technology on the Grid — the protocols and tools required to build distributed large-scale language technology systems, meeting the needs of users, application builders and researchers.

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M3 - Chapter

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EP - 238

BT - Proceedings of the UK e-Science All-Hands meeting 2005

A2 - Cox, S.

A2 - Walker, D.W.

PB - EPSRC

CY - Nottingham, UK

ER -

Supporting text mining for e-Science: the challenges for Grid-enabled natural language processing

Abstract

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Keywords

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